Book announcement: Launch on October 9, 2022. I wrote about this topic ~10 years ago as part of my thesis confirmation. It feels surreal to see that those thought experiments are now becoming part of the literature.
This manuscript covers the fundamentals that will hopefully help those interested in using the human brainwaves (EEG) data in deep learning architectures, such as convolutional neural networks for technical solutions and not just for the traditional EEG medical systems and solutions.
Manuscript submitted to the editor for publishing in 2 weeks.
High level table of content: EEG fundamentals Neural networks fundamentals Deep learning architectures for EEG
If you are an aspiring computational neuroscientist, chances are you need data to help design and run your research projects and experiments. A few weeks ago, Dr. Olbrich also adhered to the fact that raw data, including EEG data, is becoming more and more available for anyone to use.
I personally myself just recently started thinking of exploring ideas around making my own data available. Not sure how that would work but just last night I thought of exploring the idea.
Here is one example of one of those projects who have made their codes along with their EEG data (50 subjects) available. This is just one example. I highly recommend you do your own search to help find solid good raw data.
Excerpt from the article: “The THINGS-EEG dataset provides neuroimaging recordings to a systematic collection of objects and concepts and can therefore support a wide array of research to understand visual object processing in the human brain.”